Evidence map›Paper›PMID 38860311›Full record

ArticleNeuro-oncology2024

High-throughput neural stem cell-based drug screening identifies S6K1 inhibition as a selective vulnerability in sonic hedgehog-medulloblastoma.

Leilei Zhou, Niek van Bree, Lola Boutin, Jinhye Ryu, Simon Moussaud, Mingzhi Liu, Magdalena Otrocka, Magnus Olsson, Anna Falk, Margareta Wilhelm

Abstract read
In one paragraph

Article in Neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Leilei ZhouDepartment of Microbiology, Tumor, and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.
Niek van BreeDepartment of Microbiology, Tumor, and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.
Lola BoutinDepartment of Microbiology, Tumor, and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.
Jinhye RyuDepartment of Microbiology, Tumor, and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.
Simon MoussaudChemical Biology Consortium Sweden (CBCS), Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6340-9511
Mingzhi LiuDepartment of Microbiology, Tumor, and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.
Magdalena OtrockaChemical Biology Consortium Sweden (CBCS), Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Magnus OlssonDepartment of Clinical Science, Intervention, and Technology, Karolinska Institutet, Stockholm, Sweden.
Anna FalkDepartment of Experimental Medical Science, Lund Stem Cell Center, Lund University, Lund, Sweden.
Margareta WilhelmDepartment of Microbiology, Tumor, and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-0516-9724

Funding

Barncancerfonden PR2021-0080Cancerfonden 22_2236PjCBCS Project grantChinese Scholarship CouncilKarolinska Institutet 2-1060/2018Radiumhemmets Forskningsfonder #214173Vetenskapsrådet 2020-1427
6 · The paper itself

Abstract

backgroundMedulloblastoma (MB) is one of the most common malignant brain tumors in children. Current treatments have increased overall survival but can lead to devastating side effects and late complications in survivors, emphasizing the need for new, improved targeted therapies that specifically eliminate tumor cells while sparing the normally developing brain.

methodsHere, we used a sonic hedgehog (SHH)-MB model based on a patient-derived neuroepithelial stem cell system for an unbiased high-throughput screen with a library of 172 compounds with known targets. Compounds were evaluated in both healthy neural stem cells (NSCs) and tumor cells derived from the same patient. Based on the difference of cell viability and drug sensitivity score between normal cells and tumor cells, hit compounds were selected and further validated in vitro and in vivo.

resultsWe identified PF4708671 (S6K1 inhibitor) as a potential agent that selectively targets SHH-driven MB tumor cells while sparing NSCs and differentiated neurons. Subsequent validation studies confirmed that PF4708671 inhibited the growth of SHH-MB tumor cells both in vitro and in vivo, and that knockdown of S6K1 resulted in reduced tumor formation.

conclusionsOverall, our results suggest that inhibition of S6K1 specifically affects tumor growth, whereas it has less effect on non-tumor cells. Our data also show that the NES cell platform can be used to identify potentially effective new therapies and targets for SHH-MB.

Indexed as

Cerebellar NeoplasmsHigh-Throughput Screening AssaysMedulloblastomaNeural Stem CellsAnimalsAntineoplastic AgentsCell ProliferationDrug Screening Assays, AntitumorHedgehog ProteinsHumansMiceTumor Cells, CulturedXenograft Model Antitumor AssaysAntineoplastic AgentsHedgehog ProteinsSHH protein, humanhigh-throughput drug screenmedulloblastomaPF4708671precision cancer medicineS6K1

Identifiers

PMID38860311
PMCPMC11376459

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.